Article| Any: | 2016 |
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| Autor(s): | A. Lana, J. Marmain, V. Fernandez, J. Tintoré, A. Orfila |
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| Títol: | Wind influence on surface current variability in the Ibiza Channel from HF Radar |
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| Revista: | OCEAN DYNAMICS |
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| ISSN: | 1616-7341 |
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| JCR Impact Factor: | 1.597 |
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| Volum: | 66 |
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| Número: | 4 |
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| Pàgines: | 483-497 |
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| D.O.I.: | 10.1007/s10236-016-0929-z |
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| Web: | https://www.researchgate.net/publication/292090820_Wind_influence_on_surface_current_variability_in_the_Ibiza_Channel_from_HF_Radar |
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| Resum: | t Surface current variability is investigated using 2.5-years of continuous
velocity measurements from an HF Radar (HFR) located in the Ibiza Channel
(Western Mediterranean Sea). The Ibiza Channel is identified as a key geographical
feature for the exchange of water masses but still poorly documented. Operational,
quality controlled, HFR derived velocities are provided by the Balearic
Islands Coastal Observing and Forecasting System (SOCIB). They are assessed
by performing statistical comparisons with current-meter, ADCP and surface lagrangian
drifters. HFR system does not show significant bias and its accuracy is in
accordance with previous studies performed in other areas. The main surface circulation
patterns are deduced from an EOF analysis. The first three modes represent
almost 70% of the total variability. A cross-correlation analysis between zonal and
meridional wind components and the temporal amplitudes of the first three modes
reveals that the first two modes are mainly driven by local winds, with immediate
effects of wind forcing and veering following Ekman effect. The first mode (37% of
total variability) is the response of meridional wind while the second mode (24% of
total variability) is linked primarily with zonal winds. The third and higher order
modes are related to mesoscale circulation features. HFR derived surface transport
presents a markedly seasonal variability being mostly southwards. Its comparison
with Ekman induced transport shows that wind contribution to the total surface
transport is on average around 65%. |
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